Triple
T35441439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snakes and Earrings |
E1024350
|
entity |
| Predicate | originalWorkAward |
P15639
|
FINISHED |
| Object | Akutagawa Prize |
E181504
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Akutagawa Prize | Statement: [Snakes and Earrings, originalWorkAward, Akutagawa Prize]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalWorkAward Context triple: [Snakes and Earrings, originalWorkAward, Akutagawa Prize]
-
A.
awardReceivedByWork
chosen
Indicates that a particular award was given in recognition of a specific work (such as a book, film, or artwork).
-
B.
awardRelatedWork
Indicates that there is a connection between an award and the work (such as a project, publication, or performance) for which it was given or with which it is associated.
-
C.
authorAwardedForBodyOfWork
Indicates that an author received an award recognizing their entire body of work rather than a single specific piece.
-
D.
recipientOfAward
Indicates that an entity has received or been granted a particular award.
-
E.
originalCollectionAward
Indicates that an award is given specifically for an original collection of works, rather than for individual items or derivative collections.
- F. None of above.
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76df8089481909f0018266ee881b7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3836c648e88190a1b0927bf8762311 |
completed | June 21, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.